A New Look at Communication in the Context of Written Speech Interaction with Automated Systems
https://doi.org/10.25205/1818-7935-2025-23-1-5-18
Abstract
The study is built around determining the main features of written verbal interaction between a person and automated systems within the framework of the concepts “communication” and “dialogue”. An assessment is made of the validity of using the term “communication” in the context of interaction with chatbots, during which the characteristic features of this form of communication are highlighted, such as quasi-synchrony, immediacy, focus on interactivity, lack of social relationships between interlocutors, and a rigid formal structure. Interaction with a chatbot in natural language in a traditional question-answer dialogue form allows the user to achieve their communication goals in a familiar and comfortable way. Using the example of analyzing speech interactions with the ChatGPT-3.5 chatbot, it was revealed that communication with text generators is of a mixed nature, including elements of both oral and written speech. Automated systems, such as the ChatGPT-3.5 chatbot, are text generators and are used primarily to create a ready-made “text product” for a specific user task, which determines the text-oriented nature of the chatbot’s remarks. The text generated by the chatbot must be understandable, comply with language norms, and exist outside the current context of interaction. At the same time, in interaction with automated systems, elements of oral speech activity are revealed, such as a dialogical form of information exchange and a spontaneous nature of communication. The spontaneity of communication is manifested in this case in elliptical constructions, typos and grammatical errors in the user’s remarks. Interactivity is the ability of the user to intervene and interrupt or correct the process of creating a message. However, such communication cannot be called synchronous since the participants in the interaction cannot respond to each other’s messages immediately, but only after receiving a message in the complete form. This allows us to qualify this form of communication as quasi-synchronous.
About the Author
M. V. PetrovaRussian Federation
Maria V. Petrova, Candidate of Sciences (Philology)
Moscow
References
1. Abbas A. M., Mahmood L. A. A Race-Based Approach to the Study of Slang Expressions in American Movies and TV Series. Diyala Journal for Human Researches, 2023, pp. 541–553. Available at: http://148.72.244.84:8080/xmlui/handle/xmlui/11932 (accessed Februar 24, 2024).
2. Beißwenger, M. Internetbasierte Kommunikation als Textformen-basierte Interaktion: ein neuer Vorschlag zu einem alten Problem. Deutsch in Sozialen Medien. Interaktiv–multimodal–vielfältig. de Gruyter, 2020, pp. 291–318. https://doi.org/10.1515/9783110679885-015
3. Beißwenger M. Das Dortmunder Chat-Korpus Zeitschrift für germanistische Linguistik, 2013, vol. 41, no. 1. pp. 161–164. https://doi.org/10.1515/zgl-2013-0009
4. Beißwenger M., Storrer, A. Interaktionsorientiertes Schreiben und interaktive Lesespiele in der Chat-Kommunikation. Zeitschrift für Literaturwissenschaft und Linguistik, 2012, vol. 168, pp. 92–124. https://doi.org/10.1007/BF03391261
5. Berendt B., Littlejohn A., Blakemore M. AI in education: Learner choice and fundamental rights. Learning, Media and Technology, 2020, vol. 45, no. 3, pp. 312–324. https://doi.org/10.1080/17439884.2020.1786399
6. Bloh M.Ya., Polyakov S. M. Stroy dialogicheskoy rechi: monografiya [The structure of dialogical speech: monograph]. Moscow, Prometei publ., 1992, 153 p. (in Russ.).
7. Brommer S., Dürscheid C. Mensch. Maschine. Kommunikation. Unterschiede und Gemeinsamkeiten. Beiträge zur Medienlinguistik. Tübingen, Narr, 2021, pp. 7–27. https://doi.org/10.24053/9783823394716
8. Bussmann H. Lexikon der Sprachwissenschaft. Stuttgart, Kröner, 2002, 904 p. https://doi.org/10.1515/infodaf-1985-125-613
9. Cambria E., White B. Jumping NLP curves: A review of natural language processing research. IEEE Computational intelligence magazine, 2014, vol. 9, no. 2, pp. 48–57. https://doi.org/10.1109/MCI.2014.2307227
10. CHuharev, E. M. Lingvostatisticheskie korrelyaty spontannosti v komp’yuterno-oposredovannom diskurse (na materiale russkoyazychnogo chata) [Linguistic and statistical correlates of spontaneity in computer-mediated discourse (based on Russian-language chat) Cand. philol. sci. thesis diss]. St. Petersburg, 2009, 23 p. (in Russ.).
11. Devkin V. D. Dialog. Nemeckaya razgovornaya rech’ v sopostavlenii s russkoj: Dlya in-tov i fakul’tetov inostrannyh yazykov [Dialogue. German colloquial speech in comparison with Russian: For institutes and departments of foreign languages: Textbook]. Moscow, Vysshaya shkola publ., 1981, 160 p. (in Russ.).
12. Dürscheid C. Von der Schriftlichkeit zur Mündlichkeit. Kommunikation mit Menschen und Maschinen. Vortrag anlässlich der Verleihung des Konrad-Duden-Preises der Stadt Mannheim am 16.03. 2022. Zurich Open Repository and Archive, 2023. Available at: https://www.zora.uzh.ch/id/eprint/253073/1/Konrad_Duden_Preis_Durscheid_Von_der_Schriftlichkeit_zur_Mundlichkeit.pdf (accessed: 24.02. 2024).
13. Garcia A., Jacobs J. B. The interactional organization of computer mediated communication in the college classroom. Qualitative Sociology, 1998, vol. 21, pp. 299–317. https://doi.org/10.1023/A:1022146620473
14. Guseva D. I. “Kommunikatsiya” i “Obshchenie”: sootnoshenie ponyatiy [Communication and Interaction: the relationship of сoncepts]. Vestnik nauki i obrazovaniya, 2019, no. 20-2 (74), pp. 84– 87 (in Russ.).
15. Helfrich-Schkarbanenko A. Erstellen eines Vorlesungsskripts. Mathematik und ChatGPT: Ein Rendezvous am Fuße der technologischen Singularität. Berlin, Heidelberg, Springer Berlin Heidelberg, 2023, 304 p.
16. Hepp A., Loosen W., Dreyer S. et al. Von der Mensch-Maschine-Interaktion zur kommunikativen KI. Publizistik, 2022, vol. 67, no. 4, pp. 449–474. https://doi.org/10.1007/s11616-022-00758-4
17. Izbaeva N. M., Kadyrova G. S. Dialog kak forma proyavleniya yazyka i rechi: svoystva i struktura [Dialogue as a form of manifestation of language and speech: properties and structure]. Vestnik magistratury, 2021, no. 5-6 (116), pp. 147–149 (in Russ.).
18. Larina O. V. Implicitnaya temporal’nost’ s pozicii teorii relevantnosti [Implicit temporality from the perspective of relevance theory]. Filologicheskie nauki v MGIMO, 2023, vol. 9, no. 4, pp. 42– 54 (in Russ.) https://doi.org/10.24833/2410-2423-2023-4-37-42-54
19. Lotze N. Chatbots: eine linguistische Analyse. Peter Lang International Academic Publishers, 2016. 443 p. https://doi.org/10.3726/b10402
20. Lück S. Das Zwischen im Dialog. Wiesbaden, Springer Fachmedien, 2019, 197 p. https://doi.org/10.1007/978-3-658-25833-7
21. Martynova N. A. Mezhkul’turnaya kommunikaciya kak osobyj vid obshcheniya [Intercultural communication as a special type of communication]. Omskij nauchnyj vestnik, 2007, no. 2 (54), pp. 148–151 (in Russ.).
22. Momand B., Dubrowski A. Addressing Social Context in Health Provider and Senior Communication Training: What Can We Learn From Communication Accommodation Theory? Cureus, 2020, vol. 12, no. 12. https://doi.org/10.7759/cureus.12247
23. Morozov V. E. Obshchenie v chate kak vid diskursa [Chatting as a type of discourse]. Slovo. Tekst. Istochnik: Metodologiya sovremennogo gumanitarnogo issledovaniya, 2023, pp. 207–219 (in Russ.).
24. Nöth W. Zeichen und Semiose. In: Braun O. et al. Sprache und Kommunikation. Behinderung, Bildung, Partizipation (Enzyklopädisches Handbuch der Behindertenpädagogik). Stuttgart, Kohlhammer, 2012, vol. 8, pp. 161–176.
25. Picot A. et al. Basic Models of Human Information and Communication Behavior. The Boundaryless Enterprise: Information, Organization & Leadership. Wiesbaden, Springer Fachmedien Wiesbaden, 2023, pp. 37–69. https://doi.org/10.22161/ijels.52.19
26. Proshina M. V. Sovremennye metody obrabotki estestvennogo yazyka: neyronnye seti [Modern methods of natural language processing: neural networks]. Ekonomika stroitel’stva, 2022, no. 5, pp. 27–42 (in Russ.).
27. Rusu M. Aspects of interpersonal communication–the exchange of communicative intentions. Review of Artistic Education, 2023, no. 26, pp. 220–228.
28. Schönbächler E., Himpsl-Gutermann K., Strasser T. Vom Chat zum Check. Informationskompetenz mit ChatGPT steigern. Medienimpulse, 2023, vol. 61, no. 1, 51 p. https://doi.org/10.21243/mi-01-23-18
29. Smutny P., Schreiberova P. Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers & Education, 2020, vol. 151, no. 103862. https://doi.org/10.1016/j.compedu.2020.103862
30. Storrer A. Sprachverfall durch internetbasierte Kommunikation?: Linguistische Erklärungsansätze – empirische BefundeSprachverfall?: Dynamik–Wandel–Variation, 2014, pp. 171–196. https://doi.org/10.1515/9783110343007.171
31. Sumipo J. M. He’sa man and she’sa woman: A Conversation Analysis on Linguistic Gender differences. International Journal of English Literature and Social Sciences (IJELS), 2020, vol. 5, no. 2. https://doi.org/10.22161/ijels.52.19
32. Trevarthen C. Intersubjektivität und Kommunikation. In: Braun O. [et al.] Sprache und Kommunikation. Behinderung, Bildung, Partizipation (Enzyklopädisches Handbuch der Behindertenpädagogik). Stuttgart, Kohlhammer, 2012, vol. 8, pp. 82–160.
33. Wienrich C., Döllinger N., Hein R. Behavioral framework of immersive technologies (BehaveFIT): How and why virtual reality can support behavioral change processes. Frontiers in Virtual Reality, 2021, vol. 2, no. 627194. https://doi.org/10.3389/frvir.2021.627194
34. Zitzen M., Stein D. Chat and conversation: a case of transmedial stability? Linguistics, 2004, vol. 42, no. 5, pp. 983–1021. https://doi.org/10.1515/ling.2004.035
Review
For citations:
Petrova M.V. A New Look at Communication in the Context of Written Speech Interaction with Automated Systems. NSU Vestnik. Series: Linguistics and Intercultural Communication. 2025;23(1):5-18. (In Russ.) https://doi.org/10.25205/1818-7935-2025-23-1-5-18